Journal of Pain Research (Feb 2020)
Bibliometric Analysis of Research Assessing the Use of Acupuncture for Pain Treatment Over the Past 20 Years
Abstract
In-Seon Lee,1 Hyangsook Lee,1,2 Yi-Hung Chen,3 Younbyoung Chae1 1Acupuncture & Meridian Science Research Center, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea; 2Korean Medicine Convergence Research Center, Kyung Hee University, Seoul, Republic of Korea; 3Chinese Medicine Research Center, China Medical University, Taichung, Taiwan, R.O.C.Correspondence: Younbyoung ChaeAcupuncture & Meridian Science Research Center, Kyung Hee University, 1 Hoegi-dong, Dongdaemun-gu, Seoul, Republic of KoreaEmail [email protected]: A bibliometric approach using quantitative analytical methods was applied to explore the development of research investigating acupuncture for the treatment of pain. This study also evaluated the current status of acupuncture analgesia with a visualization analysis of journal articles.Methods: Articles on acupuncture for pain control that were published from 2000 to 2019 were retrieved from the Web of Science database. Extracted records were analyzed in terms of year of publication, country, journal, research area, authors, and organizational affiliations. The VOSviewer program was used to visualize trends in research on acupuncture for pain control.Results: Analyses of 4595 original and review articles revealed that the total number of publications has continually increased over the last 20 years. The country producing the most articles in this field was the United States, followed by China and South Korea. A network analysis based on the cooccurrence of keywords revealed the following three major types of studies: clinical studies, pain management studies, and mechanism studies.Conclusion: The present study evaluated research on acupuncture for pain control using bibliometric methods and revealed current trends in acupuncture analgesia research, as well as potential future hot spots of research in this field.Keywords: acupuncture, analgesia, bibliometric analysis, pain, network analysis
